Ever wish you had an inefficient but somewhat legible collection of machinelearning algorithms implemented exclusively in numpy? No?
This repo includes code for the following models:
Gaussian mixture model
Hidden Markov model
Latent Dirichlet allocation (topic model)
n-Gram sequence models
Reinforcement learning models
Am I missing your favorite model? Is there something that could be cleaner /less confusing? Did I mess something up? Submit a PR! The only requirement isthat your models are written with just the Python standardlibrary and numpy. TheSciPy library is also permitted under specialcircumstances ;)
See full contributing guidelines here.
git clone ddbourgin-numpy-ml_-_2019-07-07_05-35-50.bundle